A New Method of Network Traffic Abnormity Detection
Xue Li · Gas Turbine Experiment and Research · 2003
This paper presents a new method of network traffic abnormity detection in light with the difficulties in traditional procedure. From an investigation on the Self Similarity parameters of network traffics, Hurst and it's time variable function H(t), the changes in Self Similarity brought by traffic abnormity have been analyzed. The detected abnormal changes in Self Similarity have been used to determine network traffic abnormity. From this investigation, the statistical analysis of network traffic will detect any network traffic abnormity.